JEST /Quantitative Aptitude

Bar & pie charts

Data Interpretation · free study notes · Updated

Bar & Pie Charts – Quick Study Guide

(Quantitative Aptitude – JEST)


1️⃣ Simple Explanation

Chart What It Shows When to Use
Bar Chart Quantitative comparison of discrete categories (e.g., sales by month, student scores by subject). When you need to compare exact values or see differences at a glance.
Pie Chart Proportion of each category to a whole (percentages that sum to 100 %). When you need to show how parts make up a whole (market share, budget allocation).

Both charts are visual tools that help you answer questions like:

  • Which category is largest?
  • What is the percentage share of a category?
  • How many units are missing from a list?

2️⃣ Key Points

2.1 Bar Charts

Feature Detail
Axes X‑axis = categories, Y‑axis = numeric values.
Bars Height (or length) is proportional to the value.
Missing Data If a bar is missing, its value is zero unless stated otherwise.
Units Read from the Y‑axis tick marks.
Comparisons Compare bar heights or lengths directly.
Common Questions Which is highest/lowest? What is the difference between two bars? What is the total?

2.2 Pie Charts

Feature Detail
Whole The circle = 100 %.
Slices Each slice’s angle is proportional to its value.
Percentage slice % = (slice value / total) × 100.
Missing Slices If a slice is not shown, its share is 0 % (unless “others” is combined).
Labeling Usually shows either the percentage or the absolute value.
Common Questions What is the percent of a slice? Which slice is largest? What is the value of the missing slice?

2.3 General Tips

  1. Check the legend – it tells you what each bar/slice represents.
  2. Look for “others” categories – this usually means “all remaining values combined.”
  3. Use the total – for pie charts, if you know one slice’s percent, you can find the rest.
  4. Convert to fractions – useful when percentages are not provided.
  5. Round carefully – keep two decimal places unless the problem specifies otherwise.

3️⃣ Worked Example

3.1 Bar Chart Example

Problem
A bar chart shows the monthly sales (in ₹) of a shop for January‑March:

  • January: ₹12,000
  • February: ₹9,600
  • March: ₹15,200

Questions:
a) What is the total sales for the quarter?
b) Which month had the highest sales?
c) What is the difference between February and March sales?

Solution

Month Sales (₹)
Jan 12,000
Feb 9,600
Mar 15,200

a) Total sales
[ 12{,}000 + 9{,}600 + 15{,}200 = 36{,}800 \text{ ₹} ]

b) Highest sales month
March (₹15,200) is the tallest bar → highest sales.

c) Difference (Mar – Feb)
[ 15{,}200 - 9{,}600 = 5{,}600 \text{ ₹} ]


3.2 Pie Chart Example

Problem
A pie chart shows the distribution of a city’s population (in thousands) across four districts:

  • North: 40 %
  • South: 25 %
  • East: 20 %
  • West: missing slice

If the total population is 500 000 people, find:
a) The population of the West district.
b) The absolute number of people in the East district.

Solution

Let total population (T = 500{,}000) (thousands → 500).

  1. Find missing percentage
    [ \text{Sum of given percentages} = 40 + 25 + 20 = 85% ] [ \text{Missing percent} = 100 - 85 = 15% ]

  2. West population
    [ \text{West} = 15% \times 500 = 75 \text{ thousand} ]

  3. East population
    [ \text{East} = 20% \times 500 = 100 \text{ thousand} ]

Answer

  • West district: 75 000 people.
  • East district: 100 000 people.

4️⃣ Quick Revision Summary

Topic Key Takeaway
Bar Chart Height of bar = value; compare heights for largest/smallest; sum values for totals.
Pie Chart Whole = 100 %; slice % = (value / total) × 100; missing slice = 100 % minus sum of shown slices.
Reading Always note units on axes; look for legends and labels.
Missing Data Absence of a bar or slice usually means zero, unless “others” indicates a combined category.
Common Calculations Total, difference, percentage share, missing value.
Tip Convert percentages to fractions when the total is unknown; keep two decimal places when necessary.

Practice Tip:
Draw a quick bar chart or pie chart for a familiar set of data (e.g., your own monthly expenses) to reinforce these concepts.

Happy studying!

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